Deep Neural Network Prediction

Step 1. Genernate random parameters and Run them sequentially : $ python3 collect_data.py -gp -ep -pp -pl pooling -num 10 -shuffle -d 1080ti

Step 2. Data Timeline parser : $ python3 preprocess_data.py -pt -pl pooling -d 1080ti

Step 3. Combine all raw data : $ python3 preprocess_data.py -c -pl pooling -d 1080ti

Step 4. Split raw data to train and test data as performance prediction inputs $ python3 preprocess_data.py -sp -pl pooling -d 1080ti

Step 5. Train Model :

python3 train_model.py -ftf ./utils/Feature_Target/conv_pre.json -log2file 1 -e 1000 -st 400 -sg 0.5 -lf maple -n perfnetA -pd 1080ti -pl convolution -psl pre
    
python3 train_model.py -ftf ./utils/Feature_Target/conv_exe.json -log2file 1 -e 1000 -st 400 -sg 0.5 -lf maple -n perfnetA -pd 1080ti -pl convolution -psl exe
        
python3 train_model.py -ftf ./utils/Feature_Target/conv_post.json -log2file 1 -e 1000 -st 400 -sg 0.5 -lf maple -n perfnetA -pd 1080ti -pl convolution -psl post

Step 6. Generate model csv file :

python3 verify_model.py -gmc --model lenet -b 1

Step 7. Predict model csv file :

python3 verify_model.py -pdm -n perfnetA -d 1080ti -l -eva -lf maple --model lenet -b 1

Or you can use script to predict all models with all batches:

python3 predict_script.py -n perfnetA -d 1080ti -lf maple

Predict the latency time of the deep learning models

Related tags

Overview

Deep Neural Network Prediction

Owner

QAQ

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

Computer Vision Script to recognize first person motion, developed as final project for the course "Machine Learning and Deep Learning"

Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted)

An all-in-one application to visualize multiple different local path planning algorithms

A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

Learning Domain Invariant Representations in Goal-conditioned Block MDPs

This program can detect your face and add an Christams hat on the top of your head

Proto-RL: Reinforcement Learning with Prototypical Representations

An open source library for face detection in images. The face detection speed can reach 1000FPS.

Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"

Attention-guided gan for synthesizing IR images

Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework

Official Implementation of DE-DETR and DELA-DETR in "Towards Data-Efficient Detection Transformers"

The offcial repository for 'CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos', SIGIR2022

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Neighborhood Reconstructing Autoencoders

Scalable machine learning based time series forecasting